FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks

Python Submitted 17 May 2024 • Published 30 July 2024
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Authors

Thivin Anandh (0000-0003-4969-3242), Divij Ghose (0009-0005-6295-543X), Sashikumaar Ganesan (0000-0003-1858-3972)

Citation

Anandh et al., (2024). FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks. Journal of Open Source Software, 9(99), 6764, https://doi.org/10.21105/joss.06764

@article{Anandh2024, doi = {10.21105/joss.06764}, url = {https://doi.org/10.21105/joss.06764}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {99}, pages = {6764}, author = {Thivin Anandh and Divij Ghose and Sashikumaar Ganesan}, title = {FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks}, journal = {Journal of Open Source Software} }
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python physics-informed neural networks scientific machine learning partial differential equations hp-variational physics informed neural networks tensorflow

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